FW-HTF-P: Transforming 911 dispatchers into Next-Generation 911 analysts: Sustainable innovation for training, workflow, and technology resources for NG911 emergency communications

FW-HTF-P:将 911 调度员转变为下一代 911 分析师:NG911 应急通信的培训、工作流程和技术资源的可持续创新

基本信息

  • 批准号:
    2129126
  • 负责人:
  • 金额:
    $ 15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-15 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

Implementation of the Emergency-Services IP Network and Next-Generation 911 (NG911) infrastructure in the United States allows citizens to contact 911 dispatchers in Public-Safety Answering Points (PSAPs) using voice, text, and streaming video. Furthermore, PSAPs will be able to receive automated alerts and situational awareness information from IoT sensors in buildings, vehicles, and wearable devices. However, this flood of data now goes to a workforce of 911 dispatchers trained as telephone and radio operators, not data analysts. While national policy goals for accessible, efficient, and resilient 911 service motivate the ongoing implementation of NG911 infrastructure and services, the operational challenge of processing the volume, velocity and variety of data communicated to PSAPs by citizens, sensors, and connected devices has yet to be solved. In response, this project aims to help 5000+ U.S. PSAPs retrain a workforce of 911 dispatchers as NG911 analysts capable of making sense of multichannel, multimodal information. This project aligns with the objectives of the Future of Work at the Human-Technology Frontier program by creating government-industry-academic partnerships that can develop future workers and technologies capable of improving the accessibility, efficiency, and resilience of 911 service during future emergencies.The project team is facilitating participatory design workshops with early-adopter PSAPs to co-design scenario-based training simulations that allow cross-functional teams including 911 dispatchers and NG911 analysts to develop expertise in distributed, multimodal sensemaking. Informed by integrated theories of sensemaking, the workshops are helping researchers and practitioners understand the domain-specific competencies NG911 analysts will require to notice cues in multimodal information and heed/encode external representations that support the work of 911 dispatchers and first responders. The project team is using this knowledge to develop scenario-based training resources that extend sensemaking approaches to worker training developed in cognitive science and naturalistic decision-making. Additionally, the project team is facilitating workshops with government and industry stakeholders to co-design joint-action plans for sustaining practitioner-led innovation in the design of technologies supporting distributed, multimodal sensemaking.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
美国紧急服务IP网络和下一代911(NG 911)基础设施的实施允许公民使用语音,文本和流媒体视频联系公共安全呼叫点(PSAP)的911调度员。此外,PSAP将能够从建筑物、车辆和可穿戴设备中的物联网传感器接收自动警报和态势感知信息。然而,这些大量的数据现在流向了911调度员,他们被训练成电话和无线电操作员,而不是数据分析师。虽然国家政策目标是实现可访问、高效和有弹性的911服务,但NG 911基础设施和服务的持续实施,处理公民、传感器和连接设备发送给PSAP的数据的数量、速度和种类的运营挑战尚未得到解决。作为回应,该项目旨在帮助5000多名美国PSAP重新培训911调度员,使其成为能够理解多通道、多模式信息的NG 911分析师。该项目通过建立政府-行业-学术合作伙伴关系,与人类技术前沿计划的未来工作目标保持一致,这些合作伙伴关系可以培养未来的工人和技术,从而提高可访问性,效率,项目小组正在促进参与式设计研讨会与早期采用PSAP的人共同设计基于ESTA的培训模拟,包括911调度员和NG 911分析师在内的职能团队,以发展分布式、多模式感知的专业知识。通过感知构建的综合理论,研讨会正在帮助研究人员和从业人员了解NG 911分析师需要注意多模态信息中的线索并注意/编码支持911调度员和第一响应者工作的外部表示的特定领域能力。该项目团队正在利用这些知识开发基于ESTA的培训资源,将感知方法扩展到认知科学和自然主义决策中开发的工人培训。此外,该项目团队正在推动与政府和行业利益相关者的研讨会,共同设计联合行动计划,以支持分布式多模态感知构建技术设计中的持续创新。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Opportunities for multisensor integration in public-safety answering points
公共安全应答点中多传感器集成的机会
Collaborative Information Seeking during a 911 Call Surge: A Case Study
911 呼叫激增期间的协作信息搜索:案例研究
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Rob Grace其他文献

Cues facilitating collective sensemaking during emergencies: Gaps, inconsistencies, and indicators
  • DOI:
    10.1016/j.ijdrr.2024.104897
  • 发表时间:
    2024-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Rob Grace;Feifei Pang;Jess Kropczynski
  • 通讯作者:
    Jess Kropczynski

Rob Grace的其他文献

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